Abstract: In recent years, the significance of 3D point cloud processing has witnessed a remarkable upsurge, particularly in emerging application domains such as autonomous vehicles and mixed reality.
Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...
Abstract: Over the past few decades, the precise point positioning (PPP) technique has primarily been employed in post-processing applications due to its flexibility and high precision. However, two ...
Abstract: Real-time semantic segmentation plays an important role in auto vehicles. However, most real-time small object segmentation methods fail to obtain satisfactory performance on small objects, ...
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Abstract: This article presents a communication-efficient centralized multirobot dense simultaneous localization and mapping (CCMD-SLAM) system with real-time point cloud maintenance, to address the ...